6 citations · 8 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2020★ 6 cited
Automatic Catalog of RRLyrae from 14 million VVV Light Curves: How far can we go with traditional machine-learning?
Juan B. Cabral, Felipe Ramos, Sebastián Gurovich +1
The creation of a 3D map of the bulge using RRLyrae (RRL) is one of the main goals of the VVV(X) surveys. The overwhelming number of sources under analysis request the use of autom…
astro-ph.IM2018★ 2 cited
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning
J. B. Cabral, B. Sánchez, F. Ramos +3
Machine learning algorithms are highly useful for the classification of time series data in astronomy in this era of peta-scale public survey data releases. These methods can facil…